Thomas J.F. Nieland
- Molecular Biology top 5%
- Genetics top 5%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 5%
- Immunology top 5%
- Co-authors
- Nadine F. JosephJi‐Song GuanStephen J. HaggartyRalph MazitschekLi-Huei TsaiYing ZhouRudolf JaenischXinyu Wang
- Topics
- Cholesterol and Lipid Metabolism (8 papers)3D Printing in Biomedical Research (8 papers)Drug Transport and Resistance Mechanisms (5 papers)
- Partner nations
- United StatesFranceNetherlands
In The Last Decade
Thomas J.F. Nieland
35 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 2.3k
- Genetics 656
- Cellular and Molecular Neuroscience 548
- Physiology 471
- Immunology 439
Countries citing papers authored by Thomas J.F. Nieland
This map shows the geographic impact of Thomas J.F. Nieland's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas J.F. Nieland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas J.F. Nieland more than expected).
Fields of papers citing papers by Thomas J.F. Nieland
This network shows the impact of papers produced by Thomas J.F. Nieland. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas J.F. Nieland. The network helps show where Thomas J.F. Nieland may publish in the future.
Co-authorship network of co-authors of Thomas J.F. Nieland
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J.F. Nieland. A scholar is included among the top collaborators of Thomas J.F. Nieland based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas J.F. Nieland. Thomas J.F. Nieland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 22 | |
| 3 | 9 | |
| 4 | 28 | |
| 5 | 64 | |
| 6 | 9 | |
| 7 | 38 | |
| 8 | 18 | |
| 9 | 9 | |
| 10 | 35 | |
| 11 | 41 | |
| 12 | An epigenetic blockade of cognitive functions in the neurodegenerating brainbreakdown → | 638 |
| 13 | 286 | |
| 14 | HDAC2 negatively regulates memory formation and synaptic plasticitybreakdown → | 1268 |
| 15 | 19 | |
| 16 | 57 | |
| 17 | 45 | |
| 18 | 81 | |
| 19 | 24 | |
| 20 | 35 |
About Thomas J.F. Nieland
Thomas J.F. Nieland is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Biophysics, having authored 35 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (8 papers), 3D Printing in Biomedical Research (8 papers) and Drug Transport and Resistance Mechanisms (5 papers). The work is most often cited by research in Biological Psychiatry (153 citations), Developmental Neuroscience (239 citations) and Molecular Biology (2.3k citations). Thomas J.F. Nieland has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Nadine F. Joseph, Ji‐Song Guan, Stephen J. Haggarty, Ralph Mazitschek, Li-Huei Tsai, Ying Zhou, Rudolf Jaenisch, Xinyu Wang, Jun Gao and Jan‐Hermen Dannenberg. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.